Staff Software Reliability Engineer - Data Platform

5+ years of industry experience

2+ years of experience in object-oriented language, preferably Java

Hands-on experience using a cloud-based distributed computing technologies including

Messaging systems such as Kinesis, Kafka

Data processing systems like Flink, Spark, Beam

Storage & Compute systems such as Snowflake, Databricks, Hadoop

Coordinators and schedulers like the ones in Kubernetes, Hadoop, Mesos

Experience in developing and tuning highly scalable distributed systems

Excellent grasp of software engineering principles

Solid understanding of multithreading, garbage collection and memory management

Experience with reliability engineering specifically in areas such as data quality, data observability and incident management

Maintained security, encryption, identity management, or authentication infrastructure

Leveraged major public cloud providers to build mission-critical, high volume services

Hands-on experience in developing Data Integration applications for large scale (petabyte scale) environments with experience in both batch and online systems.

Contributed to the development of distributed systems or used one or more at high volume or criticality such as Kafka or Hadoop

Experience developing Kubernetes based services on AWS Stack

#LI-Hybrid

#LI-MA1

P23512_3501537

Below is the annual salary range for candidates located in Canada. Your actual salary will depend on factors such as your skills, qualifications, and experience. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental, and vision insurance, RRSP with a match, healthcare spending, telemedicine, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program, please visit: https://rewards.okta.com/can.

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